AI Solutions Architect

NYU • New York, NY

1d • $180,000 - $220,000

About The Position

The AI Solutions Architect serves as the highly skilled and experienced AI technical leader responsible for driving the technical strategy, design, and implementation of Artificial Intelligence and Machine Learning (AI/ML) solutions across the university. Bridge the gap between innovative AI concepts and their practical, scalable deployment in university business units and research initiatives. Lead the entire technical lifecycle of AI solutions, ensuring they are robust, secure, and aligned with institutional objectives. Leverage deep technical expertise in designing and optimizing data pipelines, model integration, and evaluating both internal platforms and vendor solutions to deliver production-ready AI capabilities.

Requirements

• Bachelor's Degree in Computer Science, Engineering, Data Science, Data/Business Analytics, or related field.
• 7+ years Progressive experience in software engineering, Programming, data pipelines, data analytics, or related fields, or equivalent combination of education and experience.
• Excellent collaboration and interpersonal communication skills.
• Strong understanding of AI/ML concepts, methodologies, and applications.
• Proven ability to gather program in AI.
• Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Expert-level knowledge of data warehousing, database technologies (SQL/NoSQL), and data modeling for machine learning.
• Strong understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Solid grasp of DevOps/MLOps principles and tools (e.g., Git, Jenkins, Terraform).
• Comprehensive knowledge of major cloud provider AI/ML services and their integration capabilities.
• Exceptional Problem-Solving Ability: Ability to analyze complex, ambiguous business and technical requirements and design clear, pragmatic solutions.
• Strong Communication & Interpersonal Skills: Proven ability to communicate effectively with highly technical teams (developers, data scientists) and non-technical stakeholders (leaders, business users).
• Ability to foster long-term partnerships with functional 'process owners' and academic leaders.
• This role requires a commitment to the full lifecycle of an AI solution—not just the initial build
• Leadership & Influence: Ability to lead technical design discussions, drive consensus, and influence technical direction without direct authority.
• Ability to balance the 'open' nature of a global academic institution with the stringent security and legal constraints required for AI.
• Proven track record of navigating the technical and ethical trade-offs between global research collaboration and data privacy requirements.
• Curiosity & Adaptability: Passionate about staying current with the rapidly evolving AI and cloud technology landscape and quickly adapting new technologies.
• Attention to Detail: Meticulous approach to defining architectures, ensuring security, scalability, and long-term maintainability over experimental speed.
• Proven ability to identify, document, and mitigate technical and legal risks before any solution is moved to production.

Nice To Haves

• Master's Degree Computer Science, Engineering, Data Science, or related field/experience.
• Experience deploying AI/ML tools in a higher education or research setting.
• Deep knowledge of AI/ML workflows and tools.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level